CCPA Compliance Solutions

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Have confidence in your continuous compliance to California’s privacy law with Calligo’s CCPA/CPRA service.

What is the CCPA? The California Consumer Privacy Act (CCPA) came into effect on 1st January 2020 and laid the foundations of data privacy regulations within California. Since then, the data privacy regulation has been significantly expanded, with the newly amended regulation – the California Privacy Rights Act (CPRA).

Our CCPA services are delivered by an award-winning team of privacy consultants who are experts in data privacy regulations, infosecurity, technology and change management.We will advise, lead and consult on the various areas of necessary improvement, and manage their overall delivery.

How CCPA Compliance works


Our CCPA/CPRA GAP Analysis is conducted by privacy-qualified consultants to highlight areas of potential risk and non-conformance with California’s law. It evaluates the business’ maturity in eight key areas, ensuring compliance with CCPA/CPRA and other Data Privacy Regulations. These areas include CCPA governance and accountability, data privacy risk management, personal information management, security management, third-party management, incident management, and protection of consumers’ rights.

CCPA/CPRA Alignment

Our expert privacy team builds an ongoing adherence strategy by prioritizing risk areas, recommending a Privacy Officer, remedying data interaction and workflow risks, and aligning technology and infrastructure. We advise, lead, consult, and manage delivery, updating the CCPA/CPRA GAP Analysis to show areas of improvement.

CCPA/CPRA Assurance

Our CCPA/CPRA Assurance is an ongoing service that helps organizations maintain continuous compliance with California’s privacy regulations. The service includes reviewing and advising on privacy policies, ongoing monitoring of adherence to the regulation, data protection and security consultancy, advising on DPIAs and supporting interactions with data subjects and supervisory authorities.

Understand the benefits of our services to your business:

Improved Customer Trust
Compliance with CCPA can build customer trust and confidence in your business’s commitment to data privacy.

Competitive Advantage
Adhering to CCPA regulations can give your business a competitive advantage over non-compliant companies.
Cost Savings
CCPA compliance can help businesses avoid costly penalties and fines, which can lead to cost savings in the long run.
Better Data Management
The CCPA requires businesses to know what data they have and where it is stored, which can lead to better data management practices.
Enhanced Cybersecurity
CCPA compliance can improve cybersecurity measures, protecting sensitive data and reducing the risk of data breaches.

Preparation for Future Regulations
Adhering to CCPA regulations can help businesses prepare for future data privacy regulations and stay ahead of the compliance curve.


How Calligo has helped businesses


Calligo provides data-driven solutions to optimize manufacturing operations. Services include demand forecasting, inventory and logistics optimization, predictive maintenance, and supplier degradation analysis. Calligo integrates macro-economic shock models with company-specific data to help manufacturers make better decisions during unexpected economic shocks.

Calligo uses predictive models and time-series analysis to forecast demand and reduce inventory costs. The company also employs predictive models and survival analysis to help manufacturers reduce the risk of unplanned downtime by predicting when and how their machines will fail.


Retailers use demand forecasting with region-specific features to optimize product selection, increase sales, and reduce inventory losses. Calligo’s solutions use safe-harbor data anonymization methods to extract maximal value from customer data while maintaining privacy and avoiding legal risks.

Customer segmentation helps retailers market more effectively, improve product selection, lower risks, and understand expansion opportunities. Calligo’s machine learning solutions use customer data, external data, and domain expertise to create valuable customer groupings that inform various business areas.


Calligo provides data solutions to optimize various aspects of healthcare operations. Its services include improving the STAR rating of healthcare providers through prescriptive solutions, using predictive models and time-series analysis to prepare for a health crisis, optimizing staff scheduling to reduce labor costs while meeting patient needs, and minimizing inpatient surgical costs while maximizing revenue. Calligo also offers solutions to improve supply chain logistics to reduce the risk of inadequate supplies and reduce patient wait time through predictive models and optimization.

Moreover, Calligo offers solutions to reduce readmission rates and improve ER admittance, which can increase revenue in shared-cost models and improve the STAR rating. These services rely on predictive models, Monte-Carlo simulations, and machine learning models to analyze data and provide actionable insights to healthcare providers. With Calligo’s advanced data solutions, healthcare providers can make informed decisions to improve patient care, reduce costs, and optimize their operations for better outcomes.


Calligo provides transportation and logistics solutions that use predictive models, time-series analysis, Monte-Carlo simulations, and optimization to solve complex problems such as price optimization, cost predictions, and mileage optimization. These solutions help businesses maximize profit margin and reduce costs related to fuel, labor, and maintenance.

By utilizing machine learning algorithms, Calligo provides data-driven decisions that consider fuel costs, labor costs, shipping demand, and the availability of other opportunities. Predictive models and optimization are also used to minimize mileage driven and maximize profitability per truckload through mileage optimization and opportunistic loading.


Calligo provides data-driven solutions to optimize different aspects of telecom operations such as call center staff scheduling, market penetration analysis, store location optimization, service interruption detection, and customer segmentation. The use of predictive models and optimization leads to reduced costs, increased revenue, and higher customer satisfaction.

By leveraging machine learning solutions, Calligo can efficiently meet customer needs and optimize labor as call center needs change. Understanding market penetration using predictive models and time-series analysis helps identify high-potential markets that yield the best return on investment. 


Calligo is a data science company that helps non-profit organizations improve their decision-making process. They use predictive models, time-series analysis, and economic modeling to forecast the value of investments and marketing impact. Their machine learning solutions use data from new markets, employee and resource data, to predict outcomes, helping organizations choose the most advantageous new markets to pursue.

Calligo also uses predictive modeling to determine the best targets for fundraising efforts, to allocate labor efficiently, and to find the most efficient routes and methods for product shipping. Finally, they use optimization, predictive models, anomaly detection, and collaborative filtering to match service providers with service recipients, reducing risk, and increasing the number of services rendered.

Financial Sector

Calligo provides machine learning solutions for the financial industry, including fraud detection, automated data extraction, customer segmentation, risk assessment, and product recommendations. Fraud detection uses clustering, anomaly detection, and time-series analysis, while OCR algorithms facilitate automated data entry. Customer segmentation uses clustering and collaborative filtering.

Risk assessment and underwriting involve predictive models and time-series analysis, while Calligo helps capture the best return on marketing investments using predictive models, A/B testing, and customer segmentation. Predictive models, collaborative filtering, and time-series analysis are also used to generate additional revenue through product recommendations and execute targeted marketing for reduced costs and increased revenue.

Talk to a Calligo specialist today